Model comparison
Gemini 2.0 Flash (Feb 2025) vs Llama 3.1-8B
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 22.8 on the Noometry Index.
Last verified . 32 shared benchmarks.
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MetaSummary
- They share 32 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 9 categories and Llama 3.1-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash (Feb 2025) leads 36.1 to 9.5.
- The biggest single-benchmark swing is MATH Level 5: 82.2% for Gemini 2.0 Flash (Feb 2025) and 22.9% for Llama 3.1-8B.
- Llama 3.1-8B has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B | |
|---|---|---|
| Provider | Meta | |
| Noometry Index | 34.8 | 22.8 |
| Released | 2024-12-06 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.08 |
| Results tracked | 54 | 43 |
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Category by category
Coding Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), Llama 3.1-8B: 19.9 (#335)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| WeirdML | 25.8% | 1.7% |
| BigCodeBench Instruct | 45.9% | 32.8% |
| LMArena Coding | 1351 | 1195 |
| BigCodeBench Complete | 59.9% | 40.5% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| SciCode | — | 13.2% |
| LiveBench Coding | 63.4% | — |
| CadEval | 30% | — |
| HumanEval+ | — | 62.8% |
| MBPP+ | — | 55.6% |
Agentic & Tool Use Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), Llama 3.1-8B: 22.3 (#123)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 25.8% |
| TheAgentCompany | 11.4% | — |
| BALROG | — | 15.1% |
Reasoning Too close to call
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), Llama 3.1-8B: 14.5 (#316)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| LMArena Hard Prompts | 1346 | 1175 |
| DTBench | 63.2% | 50.9% |
| Epoch Capabilities Index | 135.36 | 116.48 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 0% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 5.4% |
| LiveBench | 66.9% | — |
| PIQA | — | 81.2% |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), Llama 3.1-8B: 9.5 (#311)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 1.7% |
| Omni-MATH | 45.9% | 13.7% |
| LMArena Math | 1351 | 1179 |
| MATH Level 5 | 82.2% | 22.9% |
| LiveBench Math | 75.8% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
| GSM8K | — | 82.4% |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), Llama 3.1-8B: 8.0 (#302)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| GPQA Diamond | 64.1% | 27% |
| MMLU-Pro | 73.7% | 40.6% |
| GPQA (HELM) | 55.6% | 24.7% |
| LMArena Expert | 1340 | 1144 |
| MMLU | 79.7% | 56.1% |
| Humanity's Last Exam | 6.6% | — |
| Confabulations | 12.4% | — |
| BoolQ | — | 82.8% |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), Llama 3.1-8B: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), Llama 3.1-8B: 34.2 (#244)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| LMArena Non-English | 1342 | 1148 |
| LMArena Chinese | 1373 | 1151 |
| LMArena French | 1390 | 1176 |
| LMArena German | 1354 | 1144 |
| LMArena Japanese | 1293 | 1061 |
| LMArena Korean | 1314 | 1053 |
| LMArena Russian | 1351 | 1158 |
| LMArena Spanish | 1363 | 1169 |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), Llama 3.1-8B: 59.1 (#253)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| IFEval | 84.1% | 74.3% |
| LMArena Instruction Following | 1336 | 1159 |
| LiveBench Instruction Following | 85.8% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), Llama 3.1-8B: 35.8 (#233)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| LMArena Longer Query | 1345 | 1182 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), Llama 3.1-8B: 29.9 (#285)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Llama 3.1-8B |
|---|---|---|
| LMArena Text | 1354 | 1187 |
| LMArena Creative Writing | 1340 | 1154 |
| EQ-Bench Creative Writing | 1128 | 713 |
| WildBench | 80% | 68.7% |
| LMArena Multi-Turn | 1350 | 1172 |
| Short-Story Creative Writing | 73.8% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Llama 3.1-8B?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 22.8 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Llama 3.1-8B better for coding?
Gemini 2.0 Flash (Feb 2025) scores higher on coding benchmarks: 28.2 versus 19.9 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Llama 3.1-8B share?
32 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Llama 3.1-8B has 43.